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Podcasts
PODCAST | How to Define AI Success Before Deployment — Hear from a Fortune 500 AI Governance Leader
Written by: CDO Magazine
Updated 12:00 PM UTC, March 14, 2026
As enterprises invest aggressively in generative and agentic AI, many leaders face a critical challenge: defining what success actually looks like.
In this episode, Fortune 500 data governance and responsible AI leader Patrick McQuillan joins Peter Geovanes of Juris Tech to discuss how executives should approach AI investments with discipline and long-term thinking.
McQuillan explains why organizations must anchor AI initiatives to customer outcomes, define acceptable risk thresholds early, and build the governance and infrastructure needed for sustainable results.
He also warns against short-term thinking that produces quick wins but erodes long-term value.
Key discussion points:
- Why AI initiatives should start with customer value
- Defining measurable outcomes before deployment
- The risks of over-focusing on POCs
- Why emerging technologies like agentic AI lack consistent standards
- How infrastructure and talent planning future-proof AI programs
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